Artificial Neural Networks Applications and Models in Water Resources

This book covers the applications of Artificial Neural Networks (ANN) in water resources. These include real time applications, irrigation water use, wastewater use, reservoir operation, and other agricultural water uses. The chapters are arranged to benefit the readers on the basics of ANN and demonstrate many models that can be used for complex water resources problems. It educates the readers on how to use ANN tools to solve complex problems of water resources, which can be adapted to other real world applications with some modifications.

Applications of ANN in water resources management – A review. Review of real time applications and methods in reservoir management. Enhancing ANN and evolutionary algorithms for solving real time problems. CPMDE-ANN for solving reservoir management problems. Differential evolution and ANN for maximizing biogas generation in UASB reactor. Optimum cropping pattern using improved ANN and EA. Real time reservoir management with ecological constraints using ANN and CPMDE. Artificial neural network for real time irrigation scheduling. Predicting reservoir inflow using ANFIS. Streamflow estimation using ANN and GP. Real time hydropower generation in a multi-reservoir system using ANN. Daily real time reservoir operation for multi-objective – irrigation, flood control and hydropower. CPMDE-ANN and MDEA-ANN for optimum Vanderkloof dam for real time hydropower generation.